Tayyab Naseer

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tayyab Naseer trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Michael Milford
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. David G. Lowe
  5. Niko Sünderhauf
  6. Christian Szegedy
  7. Andrew Zisserman
  8. Ilya Sutskever
  9. Yangqing Jia
  10. Gordon Fraser Wyeth

Who trusts Tayyab Naseer overall

  1. Lei Tai

Papers from Tayyab Naseer's perspective

Ordered by how strongly the researchers Tayyab Naseer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Going deeper with convolutions
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers